Alternatives and similar repositories for ATP

Users that are interested in ATP are comparing it to the libraries listed below

• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆31Updated 2 weeks ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆55Updated 2 years ago
• MediaBrain-SJTU / pFedGraph
  ☆36Updated last month
• cugzj / FedoSSL
  code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"
  ☆17Updated 2 years ago
• PEILab-Federated-Learning / PromptFL
  PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
  ☆43Updated 2 years ago
• HongxiaLee / FedOTP
  Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
  ☆51Updated last year
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆43Updated 2 years ago
• leondada / FedAPT
  ☆17Updated last year
• lianziqt / CFeD
  ☆22Updated 3 years ago
• SaraBabakN / MFCL-NeurIPS23
  ☆21Updated last year
• zj-jayzhang / Federated-Class-Continual-Learning
  This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)
  ☆50Updated last year
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• WenkeHuang / RethinkFL
  CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View
  ☆113Updated last year
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 2 years ago
• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆33Updated 2 years ago
• diaoenmao / SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
  [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
  ☆42Updated 2 years ago
• tmtuan1307 / LANDER
  [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
  ☆17Updated last year
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 3 years ago
• SMILELab-FL / FedNoisy
  Benchmark for federated noisy label learning
  ☆24Updated last year
• conditionWang / FLNK
  Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…
  ☆85Updated last year
• duygunuryldz / Federated_Orthogonal_Training
  ☆12Updated last year
• baowenxuan / FedCollab
  [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.
  ☆18Updated 2 years ago
• ZexiLee / ICCV-2023-FedETF
  The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…
  ☆26Updated 2 years ago
• royson / fedl2p
  [NeurIPS'23] FedL2P: Federated Learning to Personalize
  ☆24Updated 2 months ago
• JiahuaDong / LGA
  [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning
  ☆32Updated 2 years ago
• ZackZikaiXiao / FedGraB
  ☆17Updated last year
• conditionWang / Data_Centric_AI_IP_Protection
  This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…
  ☆23Updated 2 years ago
• conditionWang / FCIL
  This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
  ☆118Updated 2 years ago
• zhangmarvin / memo
  ☆71Updated 2 years ago
• HaokunChen245 / FedDAT
  [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
  ☆64Updated last year